Heart Sound Recognition Circuit Ensemble Averaging
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Solution Overview
Problem
Existing heart sound tracking systems rely on peak amplitude for identification, which can be unreliable due to noise and anomalies, potentially leading to inaccurate heart sound data.
Innovation Solution
A system and method that recognize a first intra heart sound energy indication and corresponding time indication using heart sound information from multiple waveforms, including a heart sound recognition circuit that utilizes a template and cross-correlation to identify desirable heart sound amplitudes and timings within a particular heart sound waveform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If peak amplitude is used to identify heart sounds, then the identification process is simple, but the reliability is reduced due to noise and anomalies
Solution Approach 1:
The patent combines multiple heart sound waveforms into an ensemble average to identify heart sounds. Instead of relying on a single peak amplitude detection, the system merges information from multiple waveforms (N waveforms) to create a more reliable identification that is less susceptible to noise and anomalies in individual waveforms.
Solution Approach 2:
The system uses feedback by comparing individual heart sound waveforms against the ensemble average waveform. The identification process incorporates feedback from multiple measurements to refine the detection of heart sound events, using the collective information to correct for anomalies in individual waveforms.
2Measurement precision
If multiple waveforms are considered for heart sound identification, then the accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple heart sound waveforms into an ensemble average to identify heart sounds. Instead of relying on a single peak amplitude detection, the system merges information from multiple waveforms (N waveforms) to create a more reliable identification that is less susceptible to noise and anomalies in individual waveforms.
Solution Approach 2:
The system processes multiple waveforms (excessive action) beyond what a simple single-waveform system would require. By analyzing N waveforms and computing their ensemble average, the system performs more computations than necessary for basic detection, but this excessive processing yields significantly improved accuracy and reliability.
Data Source
AI summary
A system and method provide heart sound tracking, including an input circuit, configured to receive heart sound information, and a heart sound recognition circuit. The heart sound recognition circuit can be coupled to the input circuit and can be configured to recognize, within a particular heart sound of a particular heart sound waveform, a first intra heart sound energy indication and a corresponding first intra heart sound time indication using the heart sound information from the particular heart sound waveform and the heart sound information from at least one other heart sound waveform. The particular heart sound can include at least a portion of one of S1, S2, S3, and S4. Further, the first intra heart sound energy indication and the corresponding first intra heart sound time indication can correspond to the at least a portion of one of S1, S2, S3, and S4, respectively.